T
Tae-Eog Lee
Researcher at KAIST
Publications - 122
Citations - 2952
Tae-Eog Lee is an academic researcher from KAIST. The author has contributed to research in topics: Job shop scheduling & Scheduling (computing). The author has an hindex of 28, co-authored 121 publications receiving 2632 citations. Previous affiliations of Tae-Eog Lee include Samsung.
Papers
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Journal ArticleDOI
Scheduling analysis of time-constrained dual-armed cluster tools
TL;DR: In this article, the authors proposed a method of determining the tool operation schedule for a time-constrained dual-armed cluster tools that have diverse wafer flow patterns and compared the performance of the new swap strategy with that of the conventional swap strategy.
Journal ArticleDOI
An extended event graph with negative places and tokens for time window constraints
Tae-Eog Lee,Seong-Ho Park +1 more
TL;DR: It is proved that the minimum cycle time is the same as the maximum circuit ratio of the circuits with positive token counts and that when there exists circuits with negative token counts, the maximum cycletime is bounded and the minimum circuit ratio is bounded.
Proceedings ArticleDOI
A review of scheduling theory and methods for semiconductor manufacturing cluster tools
TL;DR: The tool architectures, operational issues, and scheduling requirements of cluster tools, which combine several single-wafer processing modules with wafer handling robots in a closed environment, are reviewed.
Journal ArticleDOI
Schedulability Analysis of Time-Constrained Cluster Tools With Bounded Time Variation by an Extended Petri Net
Ja-Hee Kim,Tae-Eog Lee +1 more
TL;DR: A systematic method of determining schedulability of time-constrained decision-free discrete-event systems, where time variation can be confined within finite intervals is developed and an extended Petri net is proposed for modeling such systems.
Journal ArticleDOI
A three-level supply chain network design model with risk-pooling and lead times
TL;DR: In this article, a single-sourcing network design problem for a three-level supply chain consisting of suppliers, distribution centers (DCs) and retailers, where risk-pooling strategy and DC-to-supplier dependent lead times are considered, is considered.